Recent advances in the integrated biorefinery concept for the valorization of algal biomass through sustainable routes
Microalgae have garnered significant interest among researchers and industries as a
potential source of valuable products that can find applications in the food, feed, biofuels …
potential source of valuable products that can find applications in the food, feed, biofuels …
Convolutional neural network for behavioral modeling and predistortion of wideband power amplifiers
Power amplifier (PA) models, such as the neural network (NN) models and the multilayer NN
models, have problems with high complexity. In this article, we first propose a novel behavior …
models, have problems with high complexity. In this article, we first propose a novel behavior …
Piecewise digital predistortion for mmWave active antenna arrays: Algorithms and measurements
In this article, we describe a novel framework for digital predistortion (DPD)-based
linearization of strongly nonlinear millimeter-wave active antenna arrays. Specifically, we …
linearization of strongly nonlinear millimeter-wave active antenna arrays. Specifically, we …
A doubly orthogonal matching pursuit algorithm for sparse predistortion of power amplifiers
This letter presents a new method for the digital predistortion (DPD) of power amplifiers
(PAs) based on sparse behavioral models. The Gram–Schmidt orthogonalization is …
(PAs) based on sparse behavioral models. The Gram–Schmidt orthogonalization is …
Pruned basis space search for digital predistortion of RF power amplifiers
A novel behavioral modeling technique called pruned basis space search (PBSS) is
proposed for digital predistortion (DPD) of RF power amplifiers (PAs). The PBSS finds the …
proposed for digital predistortion (DPD) of RF power amplifiers (PAs). The PBSS finds the …
Sparse identification of Volterra models for power amplifiers without pseudoinverse computation
We present a new formulation of the doubly orthogonal matching pursuit (DOMP) algorithm
for the sparse recovery of Volterra series models. The proposal works over the covariance …
for the sparse recovery of Volterra series models. The proposal works over the covariance …
Survey: Characterization and mitigation of spatial/spectral interferers and transceiver nonlinearities for 5G MIMO systems
With an incredible increase in the number of wireless devices and an ever-growing demand
for high data rates, 5G needs to provide a solution to satisfy the demand for the next decade …
for high data rates, 5G needs to provide a solution to satisfy the demand for the next decade …
Comparison of feature selection techniques for power amplifier behavioral modeling and digital predistortion linearization
The power amplifier (PA) is the most critical subsystem in terms of linearity and power
efficiency. Digital predistortion (DPD) is commonly used to mitigate nonlinearities while the …
efficiency. Digital predistortion (DPD) is commonly used to mitigate nonlinearities while the …
Comparative analysis of greedy pursuits for the order reduction of wideband digital predistorters
This paper provides a review of greedy pursuits for optimizing Volterra-based behavioral
models structure and estimating its parameters. An experimental comparison of the digital …
models structure and estimating its parameters. An experimental comparison of the digital …
Mixture of experts approach for piecewise modeling and linearization of RF power amplifiers
Piecewise behavioral models are commonly adopted for modeling and linearization of RF
power amplifiers (PAs) that exhibit strong amplitude-dependent nonlinear distortion …
power amplifiers (PAs) that exhibit strong amplitude-dependent nonlinear distortion …